Web Session

3-5 September 2025 | 9:00-17:00 CEST

This is part four of four courses required to obtain the EAA Certificate in Actuarial Data Science. To earn the certificate, participants must complete all four modules, which include both the seminar and the exam. Members of AVÖ and/or DAV will obtain the additional title Certified Actuarial Data Scientist (by AVÖ and/or DAV) by fulfilling the same requirements. 

Furthermore, all courses are open to interested actuaries to deepen their knowledge and skills in the field of Actuarial Data Science (without exams).

Based on the building blocks known from the preceding courses, we want to deepen some topics and present further important topics from the field of Actuarial Data Science. 

In this three-day training, we deepen techniques and methods of (Actuarial) Data Science and take a rather theoretical tour to complete this course. We will cover important aspects of information theory from coding theory to web computing and close the mathematical foundations of deep learning. Along with insights in relevant aspects of insurance analytics we will investigate use cases in an insurance context. Finally, we will give a prospect of what is probably going to emerge in the future, namely quantum computing.

Web Session

15-19 September 2025 | 9:00-15:15 15:30 & 17:00 CEST

This web session is part two of four modules. They can be booked as a whole series to fulfil the requirements for receiving the CERA designation, or individually as CPD training. Written exams on the course are offered subsequently.

This web session focuses on quantitative analyses of financial and non-financial risks of an insurance company and the effect and possible applications of risk mitigation techniques and has been designed for experienced practitioners who use model results in practice and seek guidance for management decisions. Therefore, the focus is not on technical details but on the understanding of risk models and their results, and on the derivation of management actions.

Web Session

23 September 2025, 10:00-12:00 CEST

The session aims to provide participants with a comprehensive introduction regarding the risk adjustment concept under IFRS 17. We will shed light on the general concepts behind risk adjustment and its application within IFRS 17 and illustrate the importance of risk adjustment in measuring, presenting, and disclosing insurance contracts.

The online training will also provide insights into the most commonly used practical methodical concepts. Practical examples and case studies will be used to illustrate the application of risk adjustment within the IFRS 17 framework.

In addition, insights into emerging market views will be shared, and participants will have the opportunity to discuss these topics. Challenges and considerations specific to the European markets will also be discussed.

By formulating the points in this way, participants will gain a clear understanding of the objectives of the training and how it will assist them in navigating the complexities of risk adjustment within the IFRS 17 framework.

Web Session

24-26 September 2025, 9:00-17:00 CEST

This is part two of four courses required to obtain the EAA Certificate in Actuarial Data Science.

Based on the building blocks known from Basic, we want to deepen some topics and present further important topics from the field of Actuarial Data Science. In this three-day training, we cover a wide range of topics. This includes an advanced introduction to the concepts and terms of artificial intelligence, modern data management concepts (with a special look at insurance companies), aspects of data protection and the mathematical and statistical concepts of data mining. On our way, we touch different use cases in the actuarial environment. To this end, we provide a brief insight into the widely used language Python. The training rounds off with principles for the ethical handling of artificial intelligence in the insurance environment.

1/2 October 2025 | 10:00-12:00 CEST

In modern economy, cyber risk has become a major challenge across many industries. As every prevention measure is limited, there is an increasing need for cyber insurance. In the last years, there was a strong evolution of cyber insurance. 

In this session, the impact of cyber risk on various steps of the value chain is analysed, including (but not limited to) modelling and risk management. The focus of this session is to provide a hands-on approach to actuarial challenges within cyber insurance and to highlight practical solutions. There will be discussions and group interaction, we would appreciate participants willing to actively contribute